Communication-Constrained Routing and Traffic Control for Autonomous Vehicles

TL;DR

This paper addresses the challenges of communication constraints in autonomous vehicle routing and traffic control, focusing on data transmission and decision-making delays to enhance safety and efficiency.

Contribution

It proposes new methods for routing and traffic control that account for communication limitations in autonomous vehicle networks.

Findings

Improved traffic flow efficiency under communication constraints

Reduced data transmission delays for autonomous vehicle control

Enhanced safety through optimized routing strategies

Abstract

Autonomous vehicles (AV) is an advanced technology that can bring convenience, improve the road-network throughput, and reduce traffic accidents. To enable higher levels of automation (LoA), massive amounts of sensory data need to be uploaded to the network for processing, and then, maneuvering decisions must be returned to the AV. Furthermore, passengers might have a higher transmission rate demands for various data-hungry and delay-sensitive applications.